Article
Thermodynamics
C. Ahamed Saleel, M. Abdul Mujeebu, Salem Algarni
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2019)
Review
Energy & Fuels
Farheen Bano, Vandana Sehgal
Article
Thermodynamics
Waleed Khalid Alhuwayil, Muhammad Abdul Mujeebu, Ali Mohammed M. Algarny
Article
Engineering, Multidisciplinary
Pedram Abdoli, Seyed Amin Hosseini, Muhammad Abdul Mujeebu
FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH
(2019)
Review
Energy & Fuels
Saifuddin Ahmad, Muhammad Abdul Mujeebu, Mohd. Ahmadullah Farooqi
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2019)
Article
Construction & Building Technology
Muhammad Abdul Mujeebu, Noman Ashraf
BUILDING RESEARCH AND INFORMATION
(2020)
Article
Green & Sustainable Science & Technology
Muhammad Abdul Mujeebu, Farheen Bano
Summary: This study analyzed the energy-saving potential and economic viability of implementing active energy efficiency measures in a detached family house in the warm-humid climate of South India. The results showed that implementing these measures could reduce the building's energy performance index by approximately 63.5% with a payback period of 4.94 years.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2022)
Article
Green & Sustainable Science & Technology
Fahad Al-Amri, Farooq Saeed, Muhammad Abdul Mujeebu
Summary: One of the major challenges in the PV industry is to effectively cool the PV panel during its operation. This study introduces a dual-function PV panel racking structure that acts as both a mechanical support and a heat sink. Numerical analysis and field experiments validate that the modified structure can reduce panel temperature and increase panel efficiency, resulting in a lower levelized cost of electricity.
Article
Engineering, Mechanical
Isam Qasem, Ahmed A. Hussien, Ayub Ahmed Janvekar, Pramodkumar S. Kataraki, Miroslaw Pracki, M. Abdul Mujeebu
Summary: Superfinishing is a method used for high-quality surface machining of elements subjected to high surface wear. This experimental study focused on determining the effect of machining parameters on surface roughness of high-quality alloy bearing steel. The results showed that the optimum surface quality depended on the process parameters, including grain size, machining time, crosshatch angle, and contact pressure. The study also established regression equations and multidimensional correlations for subsequent roughness and performance parameters.
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES
(2022)
Review
Energy & Fuels
Muthukumar Palanisamy, Lav Kumar Kaushik, Arun Kumar Mahalingam, Sunita Deb, Pratibha Maurya, Sofia Rani Shaik, Muhammad Abdul Mujeebu
Summary: This paper provides a comprehensive review of the advancements in the design and development of efficient and clean cook-stoves operated by gaseous and liquid fuels worldwide. It covers various technical aspects such as stable operating conditions, flame propagation, heat transfer, fuel consumption, thermal efficiency, and emissions. The review summarizes different cook-stove technologies reported in both laboratory-scale and field studies, evaluating their commercial viability. It also presents numerical modeling of combustion, health and environmental impacts of unclean cooking technologies, and government initiatives for promoting cleaner cooking practices, along with suggestions for future work.
Article
Green & Sustainable Science & Technology
Mario Toledo, Andres Arriagada, Nicolas Ripoll, Eugene A. Salgansky, Muhammad Abdul Mujeebu
Summary: This comprehensive review discusses the modeling, development, industrial applications, and future directions of the hybrid filtration combustion (HFC) technology for producing hydrogen and syngas. The HFC reactors have been successfully optimized through mathematical modeling and novel approaches to complex chemical kinetics. Key parameters for optimizing the yield of hydrogen and syngas include the composition of solid feedstocks, gasifying agents, and mode of operation. HFC has shown promising potential as an energy-efficient and sustainable alternative for hydrogen and syngas production from various solid and gaseous feedstocks.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Agriculture, Multidisciplinary
Arshied Manzoor, Mohammad Ali Khan, Muhammad Abdul Mujeebu, Rayees Ahmad Shiekh
Summary: The study found that microwave-assisted osmotic dehydration process is more effective in increasing moisture loss, color change, and chroma while reducing solids gain and hue angle compared to conventional osmotic dehydration. The Henderson and Pabis model showed the best fit among the three models.
JOURNAL OF AGRICULTURE AND FOOD RESEARCH
(2021)
Article
Thermodynamics
Farheen Bano, Vandana Sehgal
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2019)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.